Databricks vs Jedox comparison

The compared Databricks and Jedox solutions aren't in the same category. Databricks is ranked #1 in Data Science Platforms , with an average rating of 8.2, and holds a 19.1% mindshare in the category. Jedox is ranked #5 in BPM , with an average rating of 8.2, and holds a 4.7% mindshare. Additionally, 96% of Databricks users are willing to recommend the solution, compared to 100% of Jedox users who would recommend it.

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Executive Summary

We performed a comparison between Databricks and Jedox based on real PeerSpot user reviews.

Find out what your peers are saying about Databricks, Knime, Microsoft and others in Data Science Platforms.

To learn more, read our detailed Data Science Platforms Report (Updated: October 2024).

Buyer's Guide

Data Science Platforms

October 2024

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Categories and Ranking

IBM SPSS Statistics

Mindshare comparison

Data Science Platforms

Business Performance Management

Featured Reviews

AbakarAhmat

Software Engineer at a university with 10,001+ employees

Sep 21, 2023

Enhancing survey analysis that provides valued insightfulness

I use it to analyze questionnaire surveys related to a product, solution, or application, such as open data services, which I provide to consumers and end-users. These surveys contain evaluation assessments, and I use SPSS to analyze the responses The most valuable feature is its robust…

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Dunstan Matekenya

Data Scientist at a financial services firm with 10,001+ employees

Jul 10, 2024

Process large-scale data sets and integrates with Apache Spark with notebook environment

I primarily use Databricks to process large-scale data sets with Apache Spark. My main use case is processing large data sets, such as 600 GB or 800 GB Databricks integrates natively with Apache Spark, which I use as a processing engine for large-scale datasets. This native integration is one of…

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Riyaz Halani

Financial Controller at Zalando SE

Jun 19, 2023

Powerful BI tool for analyzing financial performance and stable performance

We mainly used Jedox at my company as our BI tool. It is connected to SAP in the backend. At the end of each month, we used Jedox to analyze our financial performance, particularly the income statement (P and L). Jedox has its own web version, so we can access it using Google Chrome. The great…

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"It is a modeling tool with helpful automation."

"It is perfectly adequate if all you need are the results and not the trail of evidence."

"You can quickly build models because it does the work for you."

"Since we are using the software as a statistical tool, I would say the best aspects of it are the regression and segmentation capabilities. That said, I've used it for all sorts of things."

"Custom tables and macros: They allow us to create useful reports quickly for a broad audience."

"The best part is that they have an algorithm handbook, so you can open it up and understand how it works, and if it is useful, this is very important."

"The most valuable features are the solution is easy to use, training new users is not difficult, and our usage is comprehensive because the whole service is beneficial."

"The features that I have found most valuable are the Bayesian statistics and descriptive statistics."

More IBM SPSS Statistics pros

"One of the features provides nice interactive clusters, or compute instances that you don't really need to manage often."

"Databricks has helped us have a good presence in data."

"The Delta Lake data type has been the most useful part of this solution. Delta Lake is an opensource data type and it was implemented and invented by Databricks."

"I work in the data science field and I found Databricks to be very useful."

"It is a cost-effective solution."

"Databricks covers end-to-end data analytics workflow in one platform, this is the best feature of the solution."

"In the manufacturing industry, Databricks can be beneficial to use because of machine learning. It is useful for tasks, such as product analysis or predictive maintenance."

"The solution is an impressive tool for data migration and integration."

More Databricks pros

"The Excel interface is designed to retrieve data from the database and send it back, which is a significant advantage."

"The ETL function simplifies many tasks."

"The main strength of Jedox lies in mastering the navigation, especially the Excel add-in."

"The EPM is the most valuable feature."

"The solution is quick with analysis and calculation. The tool offers high digitalization which helps us to run the controlling department with less number of people. If the software wasn't there, I would need two to three people extra to run the department."

"We use the tool for performance management and planning."

"The system is quite flexible. Based on our requirements, we create different cubes that can help us to do complete planning."

"The data entry point is most valuable. The way we can customize our report or do data entry is very good."

More Jedox pros

Cons

"I'd like to see them use more artificial intelligence. It should be smart enough to do predictions and everything based on what you input."

"The solution could improve by providing a visual network for predictions and a self-organizing map for clustering."

"I feel that when it comes to conducting multiple analyses, there could be more detailed information provided. Currently, the software gives a summary and an overview, but it would be beneficial to have specific details for each product or variable."

"The technical support should be improved."

"The reports could be better."

"If there is any self-generation data collection plan (DCP), it would be helpful in gathering data. It would also be useful if there is a function to scale it up to, let's say, UiPath and have it consolidate and integrate into a UiPath solution."

"SPSS is a tool that's been around since the late 60s, and it's the universal worldwide standard for quantitative social science data analysis. That said, it does seem a bit strange to me that the graphical output functions are so clunky after all these years. The output of charts and graphs that SPSS produces is hideous."

"IBM SPSS Statistics does not keep you close to your data like KNIME."

More IBM SPSS Statistics cons

"Databricks is not geared towards the end-user, but rather it is for data engineers or data scientists."

"Would be helpful to have additional licensing options."

"The biggest problem associated with the product is that it is quite pricey."

"Implementation of Databricks is still very code heavy."

"Instead of relying on a massive instance, the solution should offer micro partition levels. They're working on it, however, they need to implement it to help the solution run more effectively."

"I have seen better user interfaces, so that is something that can be improved."

"I think setting up the whole account for one person and giving access are areas that can be difficult to manage and should be made a little easier."

"The solution has some scalability and integration limitations when consolidating legacy systems."

More Databricks cons

"Online pixel-perfect reporting is an aspect that has room for improvement."

"From a development perspective, there's room for improvement in the area called the designer, where you actually build your reports to make it easier to manage the process."

"Being an analytical solution, it should have more visualization options like graphs. When we are putting it, it should have more options. The UI can be made more modernized based on today's market. Sometimes, when we are doing heavy reports or dashboarding, there is a bit of a performance issue because it is pulling up a huge amount of data. That can be improvised by buffer memory and getting some buffer memory feature into it. It is a bit complex because it is a CPM solution. It helps you to get the information based on the different tools that we are using, which is a bit of a complex thing. It is not as easy as Microsoft Power BI. It is also not that easy as an implementation piece. It takes time to convert the business requirement into the proper solutions in the tool, which is time-consuming. It took about eight months to do the complete implementation. We got some training from the partner and the Jedox team, which helped us later on in pulling things forward, but too much learning is required, and too many possibilities are there."

"Jedox should improve the design and server issues."

"The solution needs to improve its support. The visualization in Microsoft BI is more modern and comfortable than Jedox's. I would expect something similar with the solution."

"The tool has changed its pricing and it's now too expensive for small and medium organizations. I miss the open-source version which was free and we could do a lot of things with it."

"More emphasis is needed on the availability of the learning aspect of the solution. Because unless you take up their course that enables you to be an expert in creating the report, you must seek help."

"There is room for improvement in the scalability. It is a very massive tool. It's not easy to just build everything yourself."

More Jedox cons

Pricing and Cost Advice

"The price of IBM SPSS Statistics could improve."

"More affordable training for new staff members."

"I rate the tool's pricing a five out of ten."

"While the pricing of the product may be higher, the accompanying service and features justify the investment."

"We think that IBM SPSS is expensive for this function."

"Our licence is on a yearly renewal basis. While pricing is not the primary concern in our evaluation, as products are assessed by whether they can meet our user needs and expertise, the cost can be a limiting factor in the number of licences we procure."

"If it requires lot of data processing, maybe switching to IBM SPSS Clementine would be better for the buyer."

"The price of this solution is a little bit high, which was a problem for my company."

More IBM SPSS Statistics pricing and cost advice

"Databricks are not costly when compared with other solutions' prices."

"There are different versions."

"We only pay for the Azure compute behind the solution."

"Databricks is a very expensive solution. Pricing is an area that could definitely be improved. They could provide a lower end compute and probably reduce the price."

"The solution uses a pay-per-use model with an annual subscription fee or package. Typically this solution is used on a cloud platform, such as Azure or AWS, but more people are choosing Azure because the price is more reasonable."

"I would rate the tool’s pricing an eight out of ten."

"The product pricing is moderate."

"The solution requires a subscription."

More Databricks pricing and cost advice

"The solution's pricing is specific to your requirements."

"Excellent value for money."

"The product’s pricing will not be suitable for setting up a small solution."

"We paid a one-time fee, which included product purchase, licensing, and first-time implementation. We are paying for the maintenance regularly."

"If you are using SAP, then you will have to take an SAP Connector license. The license across the tool is paying for the people who are using it as an admin or as a normal user. They can work out those costs in a manner that can help. This can also be a point of improvement where they can work out the costing, and the developers have a specific licensing cost. The normal users, who are going to do probably data entry or just going to view the dashboard, can have a separate license cost."

"Jedox was a bit cheaper compared to Calumo."

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814,649 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

16%

University

10%

Computer Software Company

Manufacturing Company

Financial Services Firm

16%

Computer Software Company

12%

Manufacturing Company

Healthcare Company

Computer Software Company

20%

Retailer

12%

Financial Services Firm

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about IBM SPSS Statistics?

The software offers consistency across multiple research projects helping us with predictive analytics capabilities.

See all answers

What is your experience regarding pricing and costs for IBM SPSS Statistics?

While the pricing of the product may be higher, the accompanying service and features justify the investment. However...

See all answers

What needs improvement with IBM SPSS Statistics?

In some cases, the product takes time to load a large dataset. They could improve this particular area.

See all answers

Which do you prefer - Databricks or Azure Machine Learning Studio?

Databricks gives you the option of working with several different languages, such as SQL, R, Scala, Apache Spark, or ...

See all answers

How would you compare Databricks vs Amazon SageMaker?

We researched AWS SageMaker, but in the end, we chose Databricks. Databricks is a Unified Analytics Platform designe...

See all answers

Which would you choose - Databricks or Azure Stream Analytics?

Databricks is an easy-to-set-up and versatile tool for data management, analysis, and business analytics. For analyti...

See all answers

What do you like most about Jedox?

The ease of reporting is one of Jedox's most valuable features.

See all answers

What is your experience regarding pricing and costs for Jedox?

The solution's pricing is specific to your requirements.

See all answers

What needs improvement with Jedox?

There is not much training for Jedox. There was no training available in the beginning at all. I had to reach out to ...

See all answers

Comparisons

Alteryx vs IBM SPSS Statistics

Compared 14% of the time

IBM SPSS Modeler vs IBM SPSS Statistics

Compared 13% of the time

TIBCO Statistica vs IBM SPSS Statistics

Compared 13% of the time

Microsoft Azure Machine Learning Studio vs IBM SPSS Statistics

Compared 12% of the time

Google Cloud Datalab vs IBM SPSS Statistics

Compared 6% of the time

More IBM SPSS Statistics Competitors

Dataiku vs Databricks

Compared 11% of the time

Informatica PowerCenter vs Databricks

Compared 8% of the time

Amazon SageMaker vs Databricks

Compared 8% of the time

Dremio vs Databricks

Compared 8% of the time

Microsoft Power BI vs Databricks

Compared 6% of the time

More Databricks Competitors

Microsoft Power BI vs Jedox

Compared 33% of the time

IBM Planning Analytics vs Jedox

Compared 25% of the time

Tableau vs Jedox

Compared 14% of the time

Anaplan vs Jedox

Compared 7% of the time

Qlik Sense vs Jedox

Compared 3% of the time

More Jedox Competitors

Product Reports

Buyer's Guide

IBM SPSS Statistics

October 2024

Download IBM SPSS Statistics product report

Buyer's Guide

Databricks

November 2024

Download Databricks product report

Buyer's Guide

Jedox

October 2024

Download Jedox product report

Also Known As

SPSS Statistics

Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash

Jedox EPM

Learn More

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IBM

Databricks

Jedox

Overview

IBM SPSS Statistics is a powerful data mining solution that is designed to aid business leaders in making important business decisions. It is designed so that it can be effectively utilized by organizations across a wide range of fields. SPSS Statistics allows users to leverage machine learning algorithms so that they can mine and analyze data in the most effective way possible.

IBM SPSS Statistics Benefits

Some of the ways that organizations can benefit by choosing to deploy IBM SPSS Statistics include:

Ease of use. SPSS Statistics enables users to simply and intuitively take control of their statistical needs. The solution is designed so that analysts who do not know how to code can easily make full use of the various tools and capabilities that SPSS Statistics has to offer. Its command language is so straightforward that it does not require users to undergo special training before they use it.

Comprehensive and flexible build. SPSS Statistics is designed to be both a comprehensive and highly flexible analytics solution. It enables users to utilize a variety of integrations that make it easy for users to add features that they might feel they are missing.

Automation. SPSS Statistics makes it simple for users to automate basic tasks that they might otherwise devote too much time worrying about. Tasks like calculation or data gathering can be delegated to the system while more conceptual tasks like data analysis are given to an organization’s analysts to handle.

IBM SPSS Statistics Features

Intuitive user interface. SPSS Statistics enables users to deploy an intuitive interface that makes the process of system management simple. Among the other components of this interface is a drag-and-drop feature that makes analysis and management possible for anyone who wants to use it.

Advanced data visualizations. Analysts that employ SPSS Statistics gain access to tools that empower them to create and export data visualizations. These visualizations can be formatted in many different ways depending on what the user needs.

Local data storage. SPSS Statistics has the ability to securely store data on a user’s computer. This enables them to add layers of security that would not necessarily be present if the data was stored in the cloud.

Reviews from Real Users

IBM SPSS Statistics is a highly effective solution that stands out when compared to many of its competitors. Two major advantages it offers are the wealth of functionalities that it provides and its high level of accessibility.

An Emeritus Professor of Health Services Research at a university writes, "The most valuable feature of IBM SPSS Statistics is all the functionality it provides. Additionally, it is simple to do the five-way analysis that you can in a multidimensional setup space. It's the multidimensional space facility that is most useful."

A Director of Systems Management & MIS Operations at a university, says, “The SPSS interface is very accessible and user-friendly. It's really easy to get information from it. I've shared it with experts and beginners, and everyone can navigate it.”

Databricks is utilized for advanced analytics, big data processing, machine learning models, ETL operations, data engineering, streaming analytics, and integrating multiple data sources.

Organizations leverage Databricks for predictive analysis, data pipelines, data science, and unifying data architectures. It is also used for consulting projects, financial reporting, and creating APIs. Industries like insurance, retail, manufacturing, and pharmaceuticals use Databricks for data management and analytics due to its user-friendly interface, built-in machine learning libraries, support for multiple programming languages, scalability, and fast processing.

What are the key features of Databricks?

User-friendly interface: Simplifies operations and usability.
Built-in machine learning libraries: Facilitates machine learning tasks.
Support for multiple programming languages: Enhances flexibility.
Scalability: Efficiently handles growing data needs.
Fast processing: Improves performance and speed.
Automated optimization: Reduces manual efforts.
Data visualization: Provides insightful visuals.
Collaborative features: Enhances teamwork.
Delta Lake performance: Boosts data management.
Seamless cluster management: Simplifies system operations.

What are the benefits or ROI to look for in Databricks reviews?

Efficiency in handling large datasets: Ensures smooth processing.
Interactive workspace environment: Improves user collaboration.
Integration with platforms: Provides connectivity benefits.
Performance optimization: Enhances overall system performance.
Support for data governance and security: Ensures data integrity and protection.

Databricks is implemented in insurance for risk analysis and claims processing; in retail for customer analytics and inventory management; in manufacturing for predictive maintenance and supply chain optimization; and in pharmaceuticals for drug discovery and patient data analysis. Users value its scalability, machine learning support, collaboration tools, and Delta Lake performance but seek improvements in visualization, pricing, and integration with BI tools.

Integrated Corporate Performance Management software provides reliable data, insights, and guidance to everyone in your company. Jedox delivers it all: Self-service budgeting, planning, and forecasting combined with intuitive analytics and BI dashboards in one integrated software platform. Users across the enterprise in any department from Finance to Sales, HR, and Procurement create integrated plans and reports based on the same data model and business logic. Integrate financial planning and analysis with operational plans and reporting to optimize processes, boost data quality, and slash planning cycles throughout the organization.

Sample Customers

LDB Group, RightShip, Tennessee Highway Patrol, Capgemini Consulting, TEAC Corporation, Ironside, nViso SA, Razorsight, Si.mobil, University Hospitals of Leicester, CROOZ Inc., GFS Fundraising Solutions, Nedbank Ltd., IDS-TILDA

Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware

BP, Fiat, Carrefour, Continental, Allianz, Bacardi, McDonald’s, Netafim, Swiss Post, Telstra, Suzuki, Vodafone, University of Western Australia, Unilever

Buyer's Guide

Data Science Platforms

October 2024

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